METHODS OF SOCIAL RESEARCH
Obiettivi formativi
The course aims at making students familiar with the key problems, tools, and techniques of social sciences methodologies, in order to enable them to structure and conduct basic research projects. As a further objective, the course will enable students to understand and critically assess the results of empirical research in the social sciences.
Risultati di apprendimento attesi
Knowledge and understanding:
Knowledge of: 1) the fundamental problems of social research; 2) the structuring of the different phases of the research cycle and of the problems, objectives, and specific tools of each phase (from the identification of the research question to the presentation of the results) in both qualitative and quantitative research designs.
Applying knowledge and understanding:
Ability to competently use the appropriate tools for each phase of the research, identifying problems and possible solutions through the appropriate tools. Resulting ability to structure an effective research project.
Making judgements:
Familiarity with the alternative choices present in each research project phase, and with the need to compromise between different objectives. Understanding of the arbitrary choices necessary in each phase of the research, the potential subjectivity of the results of the single research, and therefore the objectivity of science only as intersubjectivity across different research that publicly disclose the methods and choices used.
Communications Skills:
Ability to interact with clients and to present the research results in different forms (oral presentation with slides, small research report, scientific article).
Learning skills:
Critical and conscious perspective towards the results of social research. Concrete understanding of the cumulative learning method of the social sciences, the crucial importance of empirical data for studying social reality, and the construction of cumulative knowledge.
Contenuti Del Corso
The course examines the different stages of the lifecycle of social research, taking into account both qualitative and quantitative approaches. It is divided into two parts, led by two different instructors.
The first part (week 1-6) will focus on qualitative research methods.
After gaining insight into the goals, philosophical underpinnings and key elements of qualitative research (week 1), students will be guided through all the fundamental stages of a qualitative research process.
They will learn to formulate meaningful qualitative research questions, select samples, and understand the difference between the researcher's role in qualitative and quantitative inquiry (week 2).
During class discussions and practical exercises, they will explore different data collection methods like interviews, focus groups, and observations (weeks 3-4).
Substantial theoretical and practical attention will be given to data analysis techniques (week 5) and the concepts of reliability and validity in qualitative research (week 6).
Finally, real-world perspectives will be incorporated thanks to a session where the students can critically discuss the challenges of a large-scale qualitative project with a guest speaker (week 6).
The second part (week 7-12) focuses on quantitative research methods, providing an overview of its foundational principles and practical applications. By the end of the second part, students should have an enhanced understanding of why social scientists rely on numbers and what implications this has for understanding real world political problems.
The course will focus on data analysis, introducing students to some of the basic statistical skills employed in social sciences. They will use STATA, a user-friendly statistical software program, which will give them the opportunity to analyse real political data. At the end of the course, students will be comfortable not only reading and interpreting material that relies on quantitative data but also using data in their own research.
Testi Di Riferimento
For the qualitative part:
Merriam, S., & Tisdell, E. (2015). Qualitative Research (4th ed.). Wiley. https://www.perlego.com/book/995799/qualitative-research-a-guide-to-design-and-implementation-pdf
For the quantitative part:
Corbetta, P. (2003). Social Research (1st ed.). SAGE Publications. https://www.perlego.com/book/861933/social-research-theory-methods-and-techniques-pdf
Additional materials distributed by the instructor during the course.
Metodologie Didattiche
Class teaching, interviews and data analysis exercises.
Modalità di verifica dell'apprendimento
The course includes two different types of assessments: individual and group.
1) INDIVIDUAL: For the individual assessment, students will have to take two multiple-choice exams. The first will take place in week 6 of the course and cover the course content from week 1 to week 6. The second will be held in week 12 and cover the topics covered in weeks 7 to 11. Both will last approximately 30 minutes, and the maximum grade will be 30.
2) GROUP: For the group assessment type, students will be required to develop a small research project involving the planning, execution, and analysis of an interview for the qualitative part of the course and the analysis of survey data for the quantitative part. Further details on the modalities and timing of the projects will be provided in the first lesson of the course. The grade will be collective, and the maximum mark will be 30.
The weight of each test is distributed as follows:
MC exam (week 7): 35%
MC exam (week 12): 35%
Group project: 30%
Attendance is mandatory and will be taken for every class session.
Non-attending students must register for one of the “appelli”, submit a methodological reflection paper three days before the exam (on a topic agreed upon in advance with the course lecturers), and take an in-person multiple-choice exam covering both the quantitative and qualitative parts of the program. The final grade will correspond to the weighted average score of these assessments.
Criteri per l’assegnazione dell’elaborato finale
Criteria for accepting requests are:
1) Exam grade
2) Quality of the proposed project
Thesis requests should be presented as a one-page project, with short reference lists and a suggested index. The project should briefly detail the research question and the specific case studies considered. Potentially acceptable requests will be discussed together by the instructors and the student.
Settimana 1
Qualitative methods:
Intro to the course. Qualitative research - features and approaches.
Settimana 2
Qualitative methods:
Designing a qualitative study. The role of reflexivity, positionality, and ethics in qualitative research.
Settimana 3
Qualitative methods:
Qualitative interview(s) - techniques and challenges.
Settimana 4
Qualitative methods:
Types of interviews – in-depth and cognitive interviews. Focus groups. Developing interview guide and questions (exercitation in class)
Settimana 5
Qualitative methods:
Observational methods and document analysis.
Settimana 6
Qualitative methods:
Reliability and validity in qualitative research
Research in practice (with a guest lecturer). Mid-term.
Settimana 7
Quantitative methods:
Intro to the quantitative part of the course and the STATA software.
Settimana 8
Quantitative methods:
The construction of a quantitative research. Operationalization: from properties to variables. Types of variables. Indicators. Indices
Settimana 9
Quantitative methods:
Studying individuals: survey research.
Sampling. The structured questionnaire. Type of response categories. Scales and scaling theory. Students start exercising with STATA. Groups decide what survey data they plan to use for the quantitative analysis.
Settimana 10
Quantitative methods:
Univariate analysis. Frequency distributions. Charts. Summary measures. Related exercises with STATA.
Settimana 11
Quantitative methods:
Relationships between variables. Contingency tables. Scatterplots. Introduction to linear regression. Related exercises with STATA.
Settimana 12
Quantitative methods:
Introduction to multiple regression. Statistical significance. Interpreting regression results. Related exercises with STATA. Multiple choice exam on the quantitative part of the course.